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Оценка трещиноватости массива углевмещающих пород Эльгинского месторождения в их естественном залегании

Оценка трещиноватости массива углевмещающих пород Эльгинского месторождения в их естественном залегании

Abstract

При определении прочностных параметров горных пород в их естественном залегании важное значение приобретает достоверная оценка трещиноватости массива углевмещающих пород. Для оценки трещиноватости породного массива, по данным геофизических исследований скважин, предложена методика Марковского векторного прогнозирования, в основе которой лежит математический аппарат нелинейной Марковской статистики. Марковское векторное прогнозирование позволяет учитывать большое количество факторов (генетических, постгенетических, геологических, геофизических и др.), которые в большей или меньшей степени влияют на достоверность прогноза. Использование математического аппарата Марковской нелинейной статистики с привлечением имеющейся базы геологических и геофизических параметров, полученных при разведке Эльгинского каменноугольного месторождения, позволило создать математическую модель для расчета Ктр, применительно для данного месторождения. При этом в качестве основных прогнозирующих факторов при создании модели выбраны: стратиграфическая и современная глубина залегания слоев горных пород; выход керна, регистрируемый при бурении скважин; относительный параметр рассеянного гамма излучения, приведенный к глубине и нормированный на номинальный диаметр скважины. Данный подход позволил получить высокую сходимость между данными геологического опробования и рассчитанными по геофизическим методам исследования скважин.

While defining strength properties of the rock in its natural bedding an important significance is given to reliable estimation of fissuring of the coal containing rocks. For estimation of rock fissuring according to the information of geophysical exploration of the wells, the method of vectorial forecast of Markovskiy is suggested. The basis of the method is mathematical mechanism of nonlinear Markovskiy’s statistics. Nonlinear Markov’s statistics allows to consider many factors (genetic, post-genetic, geological, geophysical) that have an effect on the forecast to a greater or lesser extent. The usage of nonlinear Markov’s statistics with the involvement of the existing geological and geographical parameters base, obtained during the exploration of the Elga coal Deposit, allowed to create a mathematical model for calculation of the CTE, as applied to the field. As the main predictor factors in creating a model the following ones were selected: stratigraphic and contemporary depth of the rock layers; core output, registered in the drilling of wells; the diffuse gamma radiation relative parameter, related to the depth and assessed on the nominal hole diameter. This approach allowed to get high results equality between the laboratory data and that calculated with the help of geophysical research methods of wells.

Keywords

МАТЕМАТИЧЕСКИЙ АППАРАТ НЕЛИНЕЙНОЙ МАРКОВСКОЙ СТАТИСТИКИ, ГЕОФИЗИЧЕСКИЕ ИССЛЕДОВАНИЯ СКВАЖИН, ТРЕЩИНОВАТОСТЬ, УГЛЕВМЕЩАЮЩИЕ ПОРОДЫ, MATHEMATICAL MECHANISM OF NONLINEAR MARKOVSKIY’S STATISTICS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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